Dual aptamer recognition-based G-quadruplex nanowires to selectively analyze cancer-derived exosomes.


Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Dec 2021
Historique:
received: 27 04 2021
revised: 24 07 2021
accepted: 27 07 2021
entrez: 14 9 2021
pubmed: 15 9 2021
medline: 16 9 2021
Statut: ppublish

Résumé

Cancer-derived exosomes have emerged as a valuable biomarker for cancer diagnosis and prognosis. However, the heterogeneity of exosomes often leads to low selectivity based on the single recognition method. Given this, we have developed a dual-aptamer recognition strategy based on G-quadruplex nanowires for selective analysis of exosomes. In this work, target exosomes were first captured by CD63 aptamers modified on magnetic beads (MBs) and then combined with AS1411 aptamer, which shows high binding affinity to nucleolin when forming stable G-quadruplex structure. Then the free myc monomer can spontaneously assemble into higher order G-wire superstructures on the allosteric AS1411, and resulting enhanced fluorescence signal, which can realize sensitive and specific analysis of the target exosomes. This dual-aptamer recognition-based method is simple and universal for different types of exosomes, which is of great significance for clinical cancer diagnosis.

Identifiants

pubmed: 34517616
pii: S0039-9140(21)00669-X
doi: 10.1016/j.talanta.2021.122748
pii:
doi:

Substances chimiques

Aptamers, Nucleotide 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122748

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Ji Zheng (J)

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, PR China; Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, PR China.

Dayong Li (D)

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, PR China; Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, PR China.

Jin Jiao (J)

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, PR China; Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, PR China.

Chengjie Duan (C)

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, PR China; Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, PR China.

Zhongyun Wang (Z)

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, PR China; Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, PR China. Electronic address: zywang1970@126.com.

Yang Xiang (Y)

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, PR China; Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, PR China. Electronic address: xiangy@nju.edu.cn.

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Classifications MeSH